WisPerMed team wins international AI competition

Our doctoral students Tabea Pakull and Hendrik Damm demonstrated outstanding knowledge and skills in the development of AI programs at this year’s international BioNLP competition, achieving a very good place twice.

The “Discharge Me!” task involved hospital documentation, i.e. the complete listing of all examinations and their results as well as treatments and developments from admission to discharge. The task was to have AI programs create as much of this documentation as possible using a given data set of 25 discharge letters. The WisPerMed team succeeded better than all 16 international competing teams: Tabea Pakull and Hendrik Damm achieved the highest score and thus first place. The results were not only evaluated technically, but also evaluated and confirmed by three clinicians.

The second task, “BioLaySumm”, requires the translation of more than a thousand complex scientific texts using AI - in such a way that they can be understood by non-specialists without compromising scientific precision. 54 international teams took part. Tabea Pakull and Hendrik Damm tested different AI text models and ultimately combined several to achieve the best possible results. They relied exclusively on open source software to ensure the traceability of the results - unlike other teams that used models such as ChatGPT, which are powerful but not completely transparent as commercial products. This put them in fourth place out of 54 teams. They exceeded the baseline by 5.5 percentage points - the first-placed teams were only a further 1.5 percentage points higher and many teams did not even reach the baseline. They also received the award for the “most innovative approach” for their method of combined models and approaches.